📘 Introduction Apache Spark is a distributed data processing framework designed for speed and scalability. When you run a Spark job, it doesn’t just run on your laptop — it coordinates multiple machines working together to process massive datasets in parallel. To understand how Spark does this so efficiently, you need...
📘 Introduction In this hands-on dbt tutorial, you'll learn how to overwrite project variables at runtime — a powerful feature that lets you dynamically change your dbt model behavior without modifying your code or dbt_project.yml. This is especially useful when you need to run the same transformation logic...
📘 Introduction When working with large datasets in PySpark, joins can easily become performance bottlenecks. This happens because Spark needs to shuffle data across the cluster to match rows between DataFrames — a costly operation when both datasets are big. If one of your DataFrames is small, though, there’s a faster...
📘Introduction In this tutorial, you'll learn how GraphQL and REST differ and why developers choose one over the other. Whether you’re building modern web apps or managing large datasets, understanding these differences is essential for efficient, scalable applications. 🟣 GraphQL GraphQL (Graph Query Language) is a query language...
📘 Introduction In this hands-on dbt tutorial, you'll learn how to use project variables to make your SQL models more dynamic, flexible, and reusable. Instead of hardcoding values directly into your SQL logic, dbt allows you to define variables in your dbt_project.yml file. These variables can be...
📘 Introduction Choosing the right framework can make or break your web app. Streamlit and React are two powerful but very different tools. Streamlit is perfect for quickly building interactive data apps in Python, while React offers unmatched flexibility for large-scale, production-ready web applications. But which one is right for you?...
📘 Introduction Welcome to this hands-on OpenAI Agents tutorial! In this guide, we’ll build a simple but powerful multi-agent system— a coordinated group of small AI agents that work together to handle different tasks. Our system will include one agent for travel suggestions, another for weather updates, and a triage...
